Overview
The Department of Computer Science is organising a five-day online Faculty Development Programme exploring Explainable Artificial Intelligence (XAI) in healthcare. The FDP addresses deep learning interpretability, clinical decision-making, and ethical considerations to build transparent and trustworthy AI systems for medical diagnostics.
Key Highlights
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Interpretability frameworks including LIME and SHAP for clinical workflows.
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Brain–Computer Interfaces, Neural Prosthetic Systems, and privacy-preserving Federated Learning.
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Generative AI, LLMs in healthcare, bioethics, bias mitigation, and responsible AI in medical imaging.